Risk Management Solutions, Inc.

David Carttar

Pane Stojanovski

Mohan Sharma

Christopher Sams

Surender Kumar

Surya Gunturi

Jordan Byk

Monalisa Samal

Robert Muir-Wood

A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.

Resource allocation and risk modeling for geographically distributed assets

A variable resolution grid provides a mechanism for focusing specific concentrations of risk exposure on a geographical grid to determine projected loss caused by a particular catastrophe. The geographic grid provides a stable base map by using latitudes and longitudes to define the grid points and cells. Each cell is assigned a geographic identifier or geocode that identifies the location of the cell and its associated resolution. The resolution of the grid may be varied depending in part, on the resolution of any available of hazard data.

System and method for producing a flexible geographical grid

Growing community of inventors

Lawrence, KS, United States of America

David Carttar